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license: mit
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datasets:
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model-index:
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---
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# Jaleah AI Code Generation Model
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## Model Description
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language:
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- code
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tags:
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- code-generation
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- ai-assistant
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- code-completion
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- python
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- machine-learning
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- transformer
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- gpt
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license: mit
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datasets:
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- github-code
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- stackoverflow
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- synthetic-code
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library_name: transformers
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pipeline_tag: text-generation
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model-index:
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- name: Jaleah AI Code Generator
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results:
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- task:
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type: text-generation
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name: Code Generation
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dataset:
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name: Multi-Source Python Code Corpus
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type: mixed
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metrics:
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- type: code-generation
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name: Code Generation Score
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value: experimental
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- type: syntax-correctness
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name: Syntax Correctness Rate
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value: high
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- type: contextual-relevance
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name: Contextual Relevance
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value: moderate
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parameters:
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max_length:
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default: 200
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range:
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- 50
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- 500
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temperature:
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default: 0.7
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range:
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- 0.1
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- 1.0
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top_k:
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default: 50
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range:
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- 1
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- 100
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top_p:
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default: 0.95
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range:
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- 0.1
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- 1.0
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model_type: causal
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architectures:
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- GPTNeoForCausalLM
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training_config:
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base_model: microsoft/CodeGPT-small-py
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training_objective: causal-language-modeling
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compute_environment:
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- gpu
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- cloud
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training_time: ~3 hours
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hardware:
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- cuda
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- t4-gpu
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---
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# Jaleah AI Code Generation Model
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## Model Description
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